Regression modeling of competing crude failure probabilities.
Regression modeling of competing crude failure probabilities.
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DOI：
10.1093/biostatistics/2.1.85
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发表时间：
2001-03-01
期刊：
影响因子：
--
通讯作者：
Fine, J P
中科院分区：
文献类型：
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作者：
Fine, J P
在一项他莫昔芬治疗乳腺癌的随机试验中，女性可能会经历肿瘤复发或死于竞争性原因。分析的一个目标是描述他莫昔芬对复发或其他原因导致死亡的可能性的影响。为此，我们提出了一个半参数转换模型的粗失败概率的竞争风险，条件协变量。该模型是作为一个扩展的生存数据的标准方法与独立的权利审查。回归系数的估计实现了基于秩的最小二乘准则。仿真结果表明，该程序与实际的样本量。一个单独的估计函数的基线参数。考虑了协变量调整失效概率的预测。该方法的动机和说明与数据从他莫昔芬试验。
In a randomized trial of tamoxifen therapy for breast cancer, women can experience tumor recurrence or die from competing causes. One goal of analysis is to describe the effect of tamoxifen on the probabilities of recurrence or death from other causes. To this end, we propose a semi-parametric transformation model for the crude failure probabilities of a competing risk, conditional on covariates. The model is developed as an extension of the standard approach to survival data with independent right censoring. Estimation of the regression coefficients is achieved with a rank-based least squares criterion. Simulations show that the procedure works well with practical sample sizes. A separate estimating function is developed for the baseline parameter. Prediction of covariate-adjusted failure probabilities is considered. The methodology is motivated and illustrated with data from the tamoxifen trial.